Operations | Monitoring | ITSM | DevOps | Cloud

The Role Played by Artificial Intelligence in Product Design Nowadays

Ever since artificial intelligence became the new normal, building products has also taken a completely different form. Before, designers used to depend on guesses and long testing periods. That isn't the case anymore. AI is able to study data, see the patterns in them and suggest better options. It isn't surprising that it has now become a necessity for several companies.

Why Copilot alone won't fix your business workflows

Microsoft has been pushing Copilot hard over the past year. Between the rebrand of Office to Microsoft 365 Copilot, the launch of Copilot Tasks, and the more recent arrival of Copilot Cowork, there is a clear message: AI is supposed to handle the heavy lifting. For many businesses, though, the reality is more complicated than the marketing suggests. Copilot is a strong productivity tool within its own ecosystem, but expecting it to fix workflows that span multiple disconnected systems is where things start to fall apart.

5 Best SOC 2 Continuous Monitoring Tools for SaaS: Closing the 20% Manual Evidence Gap

Landing a big-logo customer feels great-until their security questionnaire hits your inbox. For most B2B SaaS teams, SOC 2 compliance is the roadblock. You connect a tool, dashboards turn green, and then stall: about 20% of evidence still needs screenshots, sign-offs, or frantic Slack chases. That last-mile grind drags engineers back into spreadsheets just when the audit seems done.
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"Proactive Insights for a Reactive World": What Makes Collective IQ Different for Business Leaders

From a business executive's perspective, the core question is not how many metrics a tool collects, but how clearly it connects technology to business productivity, cost, and risk. Dave Wagner summarizes this nicely: "if you're a business leader, what's really powerful about Collective IQ is it's not just technology metrics, it's productivity metrics."
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Cost Control in SAP BTP: The Critical Need for Automation

The cloud is the cheapest processing you can buy... until you get the bill! Unfortunately, Cloud service costs are notoriously opaque when it comes to transactional and operations costs. The results can be unexpected bills and even damage to the ROI of cloud programs. SAP BTP is no exception, but it doesn't have to be this way. Good FinOps discipline is readily available for BTP - and beyond avoiding "bill shock" such monitoring is just good operational hygiene, preserving budget and resources for productive investment.

Todd's Tenth Rule of certificate automation

I’m an old engineer at heart. Many of my ideals were formed by Joel’s Things You Should Never Do, Fred’s No Silver Bullet, and Brian’s Big Ball of Mud. One of my favorites was Greenspun’s Tenth Rule: The joke isn’t really about programming languages. It’s about a pattern: certain problems have a shape, and no matter how you approach them, you end up building the same solution, in the same order, until you arrive at the same messy place.

Ask Cortex anything, right from Slack

The Monday morning thread. Someone asks who owns checkout-service. Someone else asks what changed in the Production Readiness Scorecard last week. A third person wants to know if the Kubernetes migration is blocking the launch next Thursday. The answers exist. They live in Cortex. But getting them into the thread means someone stops what they're doing, opens a tab, finds the data, and pastes it back. By the time they do, the conversation has moved on.

Who's on call? How Claude helped us calculate this 2,500x faster

Schedules are a core part of any on-call system. In ours, they define who to page and when. But people use them in lots of other ways too: checking their next shift, asking for cover while at the gym, keeping a Slack user group up to date, or updating a Linear triage responsibility. For many of our customers, they’re one of the main ways they interact with our product, and as they’re such a foundational part of On-call, it’s very important they work well.

Context-Driven AI You Can Trust: How Edwin AI Earns Confidence in Production

Most legacy AIOps investments underdeliver because the AI lacks context, not capability. LogicMonitor’s latest innovations expand Edwin AI’s contextual intelligence across every dimension, so recommendations are accurate, explainable, and trusted by the teams that need to act on them. Reduce incident resolution time with AI that understands your environment—not just your alerts.